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Fast Radix Sort for Sparse Linear Algebra on GPU

Lukas Polok, Viorela Ila, Pavel Smrz

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX 780, OpenCL, Sorting, Sparse matrix

March 18, 2015 by hgpu

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sebastien Jean, Pierre Froumenty, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia

March 14, 2015 by hgpu

Parallel Statistical Multi-resolution Estimation

Jan Lebert, Lutz Kunneke, Johannes Hagemann, Stephan C. Kramer

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Tags: Computational Physics, Computer vision, CUDA, nVidia, Physics, Tesla K20

March 14, 2015 by hgpu

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

Yasuhiro Nakahara, Teruyoshi Washizawa

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Tags: Computer science, nVidia, OpenCL, Particle simulation, Tesla M2050

March 14, 2015 by hgpu

GPGPU Performance and Power Estimation Using Machine Learning

Gene Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou

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Tags: ATI, ATI Radeon HD 7970, Computer science, Energy-efficient computing, Machine learning, Neural networks, OpenCL

March 12, 2015 by hgpu

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

Dashiell Bodington, Eric Greenstein, Matthew Hu

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780

March 12, 2015 by hgpu

CUDA accelerated large scale vehicular area network simulator

Chok Meng Yip

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Tags: Computer science, CUDA, nVidia, Tesla C2075, Tesla K20, Thesis, Vehicular traffic

March 12, 2015 by hgpu

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng

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Tags: Algorithms, ASIC, Computer science, FPGA, nVidia, nVidia GeForce GTX 580, Sorting

March 12, 2015 by hgpu

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

Xingyu Liu, Yangdong Deng, Yufei Ni, Zonghui Li

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Tags: Algorithms, ASIC, Computer science, FPGA, KD-tree, Raytracing, Rendering

March 12, 2015 by hgpu

HOCL: A Family of Embedded Languages

Anthony Cowley, Camillo J. Taylor

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Tags: Computer science, Haskell, High-level Languages, OpenCL

March 8, 2015 by hgpu

Converting Data-Parallelism to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs

Bo Joel Svensson, Michael Vollmer, Eric Holk, Trevor L. McDonell, Ryan R. Newton

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Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, Tesla C2075

March 8, 2015 by hgpu

An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems

Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Dick Epema

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Performance, Tesla K20

March 8, 2015 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Fast Radix Sort for Sparse Linear Algebra on GPU

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Parallel Statistical Multi-resolution Estimation

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

GPGPU Performance and Power Estimation Using Machine Learning

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

CUDA accelerated large scale vehicular area network simulator

RadixBoost: A Hardware Acceleration Structure for Scalable Radix Sort on Graphic Processors

FastTree: A Hardware KD-Tree Construction Acceleration Engine for Real-Time Ray Tracing

HOCL: A Family of Embedded Languages

Converting Data-Parallelism to Task-Parallelism by Rewrites: Purely Functional Programs Across Multiple GPUs

An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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